Full-Time
Quantitative Analyst SETA
Complex Adaptive Systems
Oak Leaf Solutions
No salary listed
No H1B Sponsorship
Arlington County, Arlington, VA, USA
In Person
US Citizenship, US Top Secret Clearance Required
Master's, PhD
Category
 Quantitative Finance (1) |
|---|
Required Skills
LLM
Python
R
Graph Databases
Machine Learning
Data Engineering
PowerPoint/Keynote/Slides
Requirements
- A Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field is required.
- At least 5 years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science or data engineering applied to complex adaptive systems is required.
- Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and management of structured and unstructured data architectures is required.
- Practical experience with graph analytics, network modeling tools, and interconnected data architectures is required, including quantitative libraries in Python or R, graph databases, or network science frameworks.
- Strong experience working within or alongside the U.S. Intelligence Community is required, including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
- Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-intelligence sources is required.
- Strong written and oral communication skills are required, including the ability to prepare executive PowerPoint briefs and translate complex econometric and data models for senior defense stakeholders.
Responsibilities
- Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
- Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines.
- Serve as the primary technical liaison between academic researchers, software engineering teams, and Intelligence Community stakeholders to ensure tools align with operational requirements.
- Advise leadership on program execution risks, data architecture scalability, and capability transition strategy.
- Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.
Desired Qualifications
- Active Special Access Program access and experience working at TS/SCI and SAP levels.
- Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
- Hands-on experience building decision-support tools, artificial-intelligence or machine-learning-enabled analytical tools, cloud data engineering workflows, or large language model research pipelines.
- Prior experience supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
- Experience in a high-paced private-sector quantitative production environment, such as systematic investing or trading, real-time advertising technology development, or pharmacological optimization and customization.
- Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.